blank Quick help
blank Maintenance news

Scheduled maintenance

Regular maintenance outages:
between 05.00 and 05.15 hrs CET (Monday to Sunday).

Other outages
Availability

2022.02.11

More...
blank News flashes

News Flashes

New version of the European Patent Register – SPC proceedings information in the Unitary Patent Register.

2024-07-24

More...
blank Related links

Release notes
European Patent Register Assistant
European Patent Register Resource Book
European Patent Register – pocket guide
FAQ - European Patent Register
Federated Register (Flyer)
Global Dossier (Flyer)
Register events
Deep link coverage
Federated Register content
The Patent Information Tour
Fair use charter

Extract from the Register of European Patents

EP About this file: EP2124191

EP2124191 - Feature based neural network regression for feature suppression [Right-click to bookmark this link]
StatusThe application is deemed to be withdrawn
Status updated on  04.09.2015
Database last updated on 20.09.2024
Most recent event   Tooltip04.09.2015Application deemed to be withdrawnpublished on 07.10.2015  [2015/41]
Applicant(s)For all designated states
Riverain Medical Group, LLC
3020 South Tech Boulevard
Miamisburg, OH 45342-4860 / US
[2009/48]
Inventor(s)01 / Knapp, Jason
c/o Riverain Medical Group, LLC 3020 South Tech Blvd.
Miamisburg, Ohio 45342-4860 / US
02 / Worrell, Steve
c/o Riverain Medical Group, LLC 3020 South Tech Blvd.
Miamisburg, Ohio 45342-4860 / US
 [2009/48]
Representative(s)Lenzing Gerber Stute
PartG von Patentanwälten m.b.B.
Bahnstrasse 9
40212 Düsseldorf / DE
[N/P]
Former [2010/09]Lenzing Gerber Stute
Partnerschaft von Patentanwälten Bahnstrasse 9
40212 Düsseldorf / DE
Former [2009/48]LENZING GERBER
Patentanwälte Postfach 20 05 09
40103 Düsseldorf / DE
Application number, filing date08017626.608.10.2008
[2009/48]
Priority number, dateUS20080054908P21.05.2008         Original published format: US 54908 P
US2008024613006.10.2008         Original published format: US 246130
[2009/48]
Filing languageEN
Procedural languageEN
PublicationType: A2 Application without search report 
No.:EP2124191
Date:25.11.2009
Language:EN
[2009/48]
Type: A3 Search report 
No.:EP2124191
Date:21.08.2013
Language:EN
[2013/34]
Search report(s)(Supplementary) European search report - dispatched on:EP19.07.2013
ClassificationIPC:G06T7/00, // G06T5/50
[2013/34]
CPC:
G06T7/0012 (EP,US); G06T5/50 (EP,US); G06T7/11 (EP,US);
G06T7/143 (EP,US); G06T2207/10116 (EP,US); G06T2207/20064 (EP,US);
G06T2207/20084 (EP,US); G06T2207/30008 (EP,US); G06T2207/30064 (EP,US) (-)
Former IPC [2009/48]G06T7/00, // G06T5/00
Designated contracting statesAT,   BE,   BG,   CH,   CY,   CZ,   DE,   DK,   EE,   ES,   FI,   FR,   GB,   GR,   HR,   HU,   IE,   IS,   IT,   LI,   LT,   LU,   LV,   MC,   MT,   NL,   NO,   PL,   PT,   RO,   SE,   SI,   SK,   TR [2009/48]
TitleGerman:Merkmalsgestützte Regression in einem neuronalen Netz zur Merkmalsunterdrückung[2009/48]
English:Feature based neural network regression for feature suppression[2009/48]
French:Régression de réseau neural basée sur les propriétés pour la suppression de propriétés[2009/48]
Examination proceduredeletedCommunication of intention to grant the patent
14.02.2014Amendment by applicant (claims and/or description)
14.02.2014Examination requested  [2014/13]
01.05.2015Application deemed to be withdrawn, date of legal effect  [2015/41]
29.05.2015Despatch of communication that the application is deemed to be withdrawn, reason: renewal fee not paid in time  [2015/41]
Fees paidRenewal fee
12.10.2010Renewal fee patent year 03
11.10.2011Renewal fee patent year 04
11.10.2012Renewal fee patent year 05
01.11.2013Renewal fee patent year 06
Penalty fee
Additional fee for renewal fee
01.11.201306   M06   Not yet paid
31.10.201407   M06   Not yet paid
Opt-out from the exclusive  Tooltip
competence of the Unified
Patent Court		 See the Register of the Unified Patent Court for opt-out data
Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court.
Documents cited:Search[XA]US2002054694  (VACHTSEVANOS GEORGE J [US], et al) [X] 1,2,4-9,16-18,20-25 * abstract * * paragraph [0004] - paragraph [0060] * * paragraph [0100] - paragraph [0189] * [A] 3,10-15,19,26-31;
 [A]US2006039593  (SAMMAK PAUL [US], et al) [A] 1-31 * the whole document *;
 [A]  - ETEMAD K ET AL, "SEPARABILITY-BASED MULTISCALE BASIS SELECTION AND FEATURE EXTRACTION FOR SIGNAL AND IMAGE CLASSIFICATION", IEEE TRANSACTIONS ON IMAGE PROCESSING, IEEE SERVICE CENTER, PISCATAWAY, NJ, US, (199810), vol. 7, no. 10, doi:10.1109/83.718485, ISSN 1057-7149, pages 1453 - 1465, XP000782313 [A] 1-31 * the whole document *

DOI:   http://dx.doi.org/10.1109/83.718485
 [A]  - YU S ET AL, "FEATURE SELECTION USING GENERAL REGRESSIOMN NEURAL NETWORKS FOR THE AUTOMATIC DETECTION OF CLUSTERED MICROCALCIFICATIONS", 1999 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING. PHOENIX, AZ, MARCH 15 - 19, 1999; [IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP)], NEW YORK, NY : IEEE, US, (19990315), ISBN 978-0-7803-5042-7, pages 1101 - 1104, XP000900317 [A] 1-31 * the whole document *
 [A]  - VEGA-CORONA A ET AL, "Contextual and Non-Contextual Features Extraction and a Selection Method for Microcalcifications Detection", WORLD AUTOMATION CONGRESS, 2006. WAC '06, IEEE, PI, (200607), doi:10.1109/WAC.2006.375924, ISBN 978-1-889335-33-9, pages 1 - 6, XP031183132 [A] 1-31 * the whole document *

DOI:   http://dx.doi.org/10.1109/WAC.2006.375924
 [A]  - DENG-CHAO FENG ET AL, Texture Image Segmentation Based on Improved Wavelet Neural Network, ADVANCES IN NEURAL NETWORKS Â ISNN 2007; [LECTURE NOTES IN COMPUTER SCIENCE;;LNCS], SPRINGER BERLIN HEIDELBERG, BERLIN, HEIDELBERG, PAGE(S) 869 - 876, (20070603), ISBN 978-3-540-72394-3, XP019093684 [A] 1-31 * the whole document *
 [A]  - EGMONT-PETERSEN M ET AL, "Image processing with neural networks-a review", PATTERN RECOGNITION, ELSEVIER, GB, (200210), vol. 35, no. 10, doi:10.1016/S0031-3203(01)00178-9, ISSN 0031-3203, pages 2279 - 2301, XP004366785 [A] 1-31 * the whole document *

DOI:   http://dx.doi.org/10.1016/S0031-3203(01)00178-9
 [A]  - WANG J ET AL, "WAVELET-BASED FEATURE-ADAPTIVE ADAPTIVE RESONANCE THEORY NEURAL NETWORK FOR TEXTURE IDENTIFICATION", JOURNAL OF ELECTRONIC IMAGING, SPIE / IS & T, (199707), vol. 6, no. 3, doi:10.1117/12.269902, ISSN 1017-9909, pages 329 - 336, XP000704798 [A] 1-31 * the whole document *

DOI:   http://dx.doi.org/10.1117/12.269902
 [A]  - FORTHOFFER M ET AL, "DETECTION DE CONTOURS PAR TRANSFORMEE EN ONDELETTES ET RESEAUX DE NEURONES. \EDGEDETECTION USING WAVELET TRANSFORM AND NEURAL NETWORKS", TRAITEMENT DU SIGNAL, CENTRALE DES REVUES, MONTROUGE, FR, (199101), vol. 8, no. 6, ISSN 0765-0019, pages 431 - 440, XP000360601 [A] 1-31 * the whole document *
by applicantUS6549646
The EPO accepts no responsibility for the accuracy of data originating from other authorities; in particular, it does not guarantee that it is complete, up to date or fit for specific purposes.